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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fbrglm" in publications use:'
type: software
license: MIT
title: 'fbrglm: Safe Formula-Based Regularized Generalized Linear Models'
version: 0.0.1
abstract: A formula-based wrapper around 'glmnet' that brings the 'glm()'-compatible
  modeling workflow to regularized generalized linear models. Training-time 'terms',
  'xlevels', and 'contrasts' are stored on the fit object and reused at predict time,
  so the design matrix is reconstructed consistently across sessions. Complete-case
  bookkeeping is exposed via 'nobs_info', and linearly dependent columns are detected
  by a QR pivot and reported as 'NA' in 'coef()' and 'summary()' (the 'stats::glm()'
  convention), distinguishing "not identifiable" from "shrunk to zero by the penalty".
  Novel factor levels at predict time raise the same error 'stats::predict.glm()'
  does by default, with 'on_new_levels = "na"' as a production-style opt-in. Accepts
  character family strings ('gaussian', 'binomial', 'poisson', 'cox', 'multinomial',
  'mgaussian') and any 'glm' family object the underlying 'glmnet' itself accepts,
  including 'Gamma' and fixed-theta negative binomial via 'MASS::negative.binomial'.
authors:
- family-names: Tsuyuzaki
  given-names: Koki
  email: k.t.the-answer@hotmail.co.jp
repository: https://cran.r-universe.dev
repository-code: https://github.com/dsc-chiba-u/fbrglm
commit: d41f22e20da0f13bc880643cc21feb58ba681200
url: https://github.com/dsc-chiba-u/fbrglm
date-released: '2026-06-22'
contact:
- family-names: Tsuyuzaki
  given-names: Koki
  email: k.t.the-answer@hotmail.co.jp